S&P Global brings risk assessments to growing crypto lending vault sector

S&P Global Ratings has rolled out a risk assessment framework aimed at digital asset lending vaults, a type of onchain investment product that pools depositor funds and deploys them via predefined strategies managed by smart contracts or human curators. The new Vault Risk Assessment (VRA) examines six discrete risk areas: portfolio credit quality, liquidity mismatch, curator risk, blockchain risk, protocol risk, and vault security and governance risk. S&P said the VRA is intended to assess the potential for investor losses in vaults but will not be issued as credit ratings nor will it evaluate the yields those products generate. Analyst Lisa Schroeer told Cointelegraph the framework is not designed to single out any one category as universally the greatest risk; a significant deficiency in any single factor can constrain the overall assessment, and a strong score in one area does not offset a material weakness in another. The move comes as deposit levels in digital asset lending vaults have risen sharply, according to S&P, reaching roughly $10 billion in September compared with $1.5 billion two years earlier. The vault model has been adopted by exchanges, wallets and DeFi platforms, with recent launches including self-custodial vaults in Telegram, a Bitcoin yield vault from Kraken, and tokenized securities vaults for ETFs that lend assets through DeFi markets. S&P said it plans to publish its first Vault Risk Assessments in future announcements but did not name which vaults will be evaluated initially. The firm framed the assessments as a tool to improve transparency and help entities make more informed capital allocation decisions when considering exposure to DeFi vaults. The sector has faced real incidents of loss, such as an estimated $8.5 million exploit of Term Finance’s Meta Vaults in August, and remains under regulatory scrutiny in the U.S. where officials have warned some vaults could fall under federal securities laws depending on structure and operations.